Canadian economic impact of improved workplace productivity in patients with major depressive disorder treated with vortioxetine
Bibliographic record
Abstract
OBJECTIVE: The AtWoRC study is an interventional, open-label Canadian study that demonstrated significant improvements in cognitive function and workplace productivity in patients with major depressive disorder (MDD) treated with vortioxetine for a current major depressive episode. The objective of the present analysis was to assess the Canadian economic impact of improved workplace productivity based on the AtWoRC study results. METHODS: The economic impact of improved productivity in patients with MDD treated with vortioxetine was assessed over a 52-week period considering productivity loss due to absenteeism and presenteeism using the standard human capital approach and an employer's perspective. Absenteeism was measured with the Work Productivity and Activity Impairment questionnaire; and presenteeism with the Work Limitation Questionnaire. Productivity gains following treatment initiation with vortioxetine were estimated using the difference from baseline. RESULTS: In the AtWoRC study, patients at baseline reportedly missed, in the past 7 days, an average of 8.1 h due to absenteeism and 3.0 h due to presenteeism. Following 52 weeks of treatment with vortioxetine, patients reportedly missed an average of 4.9 h due to absenteeism and 2.0 h due to presenteeism. This improved workplace productivity translated into savings of C$110.64 for 1 week of work following 52 weeks of treatment. The cumulative 52-week economic impact showed potential savings of C$4,550 when factoring in the cost of therapy. CONCLUSION: This study suggested that workplace productivity gain due to an improvement in symptoms of MDD following treatment with vortioxetine will lead to substantial cost savings for the Canadian economy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".